Efficient self-learning of photonic neural network through neuroevolution

被引：0

作者：

Wang, Jia ^{[1
]}

Zhang, Tian ^{[1
]}

Dan, Yihang ^{[1
]}

Hu, Furong ^{[1
]}

Lanqiu, Yuxiang ^{[1
]}

Dai, Jian ^{[1
]}

Xu, Kun ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China

来源：

2019 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP) | 2019年

基金：

中国国家自然科学基金;

关键词：

DESIGN;

D O I：

暂无

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We propose a novel learning strategy to train the optical neural networks based on neuroevolution. The accuracy of modulation formats recognition reach to 93%, indicating that the proposed method is competitive with other learning algorithms.

引用

页数：3

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